Can I use this for Dashboard as Code workflows?

Yes, the skill includes implementation patterns for provisioning dashboards using Terraform and Ansible, allowing for version-controlled observability infrastructure.

How are alerts handled in these generated dashboards?

The skill provides templates for embedding alert conditions, evaluators, and notification channel links directly within the dashboard JSON configuration for seamless incident detection.

How does this skill help with Grafana dashboard creation?

It provides Claude with specific patterns, JSON structures, and best practices like the RED and USE methods to generate production-grade dashboard configurations automatically.

Does it support different types of visualizations?

Absolutely. It supports a wide range of panels including Stat panels for single values, Time Series graphs for trends, Tables for status, and Heatmaps for latency distribution.

Grafana Dashboard Architect

Name: Grafana Dashboard Architect
Author: HermeticOrmus

byHermeticOrmus

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分析与监控

Generates and manages production-ready Grafana dashboards for real-time system observability and metrics visualization.

This skill empowers Claude to design, implement, and maintain professional Grafana dashboards following industry best practices like the RED and USE methods. It provides specialized guidance on creating complex JSON configurations for various panel types, setting up dynamic variables for multi-environment monitoring, and automating deployment via Terraform or Ansible. Whether you're building API monitoring systems, infrastructure overviews, or database health trackers, this skill ensures your observability interfaces are performant, visually consistent, and operationally effective.

主要功能

01Integrated alerting configurations for real-time monitoring of critical thresholds and error rates.

02Support for Dashboard-as-Code provisioning using Terraform and Ansible workflows.

03Automated generation of Grafana JSON dashboard definitions for Stat, Graph, Table, and Heatmap panels.

04Dynamic variable configuration for scalable monitoring across multiple namespaces and services.

052 GitHub stars

06Standardized implementation of RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) monitoring frameworks.

使用场景

01Visualizing multi-cloud infrastructure health using dynamic variables for flexible resource filtering.

02Building high-availability API monitoring dashboards with error rate thresholds and P95 latency tracking.

03Establishing SLO-based operational interfaces to track business KPIs and service-level objectives.

主要功能

01Integrated alerting configurations for real-time monitoring of critical thresholds and error rates.

02Support for Dashboard-as-Code provisioning using Terraform and Ansible workflows.

03Automated generation of Grafana JSON dashboard definitions for Stat, Graph, Table, and Heatmap panels.

04Dynamic variable configuration for scalable monitoring across multiple namespaces and services.

052 GitHub stars

06Standardized implementation of RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) monitoring frameworks.

使用场景

01Visualizing multi-cloud infrastructure health using dynamic variables for flexible resource filtering.

02Building high-availability API monitoring dashboards with error rate thresholds and P95 latency tracking.

03Establishing SLO-based operational interfaces to track business KPIs and service-level objectives.